Artificial Neural Networks - ICANN 2006
(Sprache: Englisch)
The two-volume set LNCS 4131 and LNCS 4132 constitutes the refereed proceedings of the 16th International Conference on Artificial Neural Networks, ICANN 2006. The set presents 208 revised full papers, carefully reviewed and selected from 475 submissions....
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Klappentext zu „Artificial Neural Networks - ICANN 2006 “
The two-volume set LNCS 4131 and LNCS 4132 constitutes the refereed proceedings of the 16th International Conference on Artificial Neural Networks, ICANN 2006. The set presents 208 revised full papers, carefully reviewed and selected from 475 submissions. This second volume contains 105 contributions related to neural networks, semantic web technologies and multimedia analysis, bridging the semantic gap in multimedia machine learning approaches, signal and time series processing, data analysis, and more.
Inhaltsverzeichnis zu „Artificial Neural Networks - ICANN 2006 “
'Neural Networks, Semantic Web Technologies and Multimedia Analysis (Special Session).- The Core Method: Connectionist Model Generation.- A Neural Scheme for Robust Detection of Transparent Logos in TV Programs.- A Neural Network to Retrieve Images from Text Queries.- Techniques for Still Image Scene Classification and Object Detection.- Adaptation of Weighted Fuzzy Programs.- Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks.- Classifier Fusion: Combination Methods For Semantic Indexing in Video Content.- Bridging the Semantic Gap in Multimedia Machine Learning Approaches (Special Session).- Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors.- A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models.- Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations.- Bridging the Syntactic and the Semantic Web Search.- Content-Based Coin Retrieval Using Invariant Features and Self-organizing Maps.- Signal and Time Series Processing (I).- Learning Time-Series Similarity with a Neural Network by Combining Similarity Measures.- Prediction Improvement via Smooth Component Analysis and Neural Network Mixing.- Missing Value Estimation for DNA Microarrays with Mutliresolution Schemes.- Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters.- Analysis of Fast Input Selection: Application in Time Series Prediction.- A Linguistic Approach to a Human-Consistent Summarization of Time Series Using a SOM Learned with a LVQ-Type Algorithm.- Signal and Time Series Processing (II).- Long-Term Prediction of Time Series Using State-Space Models.- Time Series Prediction Using Fuzzy Wavelet Neural Network Model.- OFDM Channel Equalization Based on Radial Basis Function Networks.- A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis.- Two ICA Algorithms Applied to BSS in Non-destructiveVibratory
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Tests.- Reference-Based Extraction of Phase Synchronous Components.- Data Analysis (I).- Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem.- Nonnegative Matrix Factorization for Motor Imagery EEG Classification.- Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application.- Interpolating Support Information Granules.- Feature Selection Based on Kernel Discriminant Analysis.- Local Selection of Model Parameters in Probability Density Function Estimation.- The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis.- Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters.- Kernel PCA as a Visualization Tools for Clusters Identifications.- Data Analysis (II).- A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction.- Feature Extraction with Weighted Samples Based on Independent Component Analysis.- Discriminant Analysis by aNeural Network with Mahalanobis Distance.- Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping.- A Model Selection Method Based on Bound of Learning Coefficient.- Pattern Recognition.- Sequential Learning with LS-SVM for Large-Scale Data Sets.- A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation.- A Multisensor Fusion System for the Detection of Plant Viruses by Combining Artificial Neural Networks.- A Novel Connectionist-Oriented Feature Normalization Technique.- An Evolutionary Approach to Automatic Kernel Construction.- A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression.- Neural Network Clustering Based on Distances Between Objects.- Rotation-Invariant Pattern Recognition: A Procedure Slightly Inspired on Olfactory System and Based on Kohonen Network.- Pattern Classification Using Composite Features.- Visual
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Bibliographische Angaben
- 2006, 2006., 1028 Seiten, Maße: 15,4 x 23,3 cm, Kartoniert (TB), Englisch
- Herausgeber: Kollias, Stefanos, Stafylopatis, Andreas, Oja, Erkki, Duch, Wlodzislaw
- Herausgegeben: Stefanos Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja
- Verlag: Springer
- ISBN-10: 3540388710
- ISBN-13: 9783540388715
- Erscheinungsdatum: 11.09.2006
Sprache:
Englisch
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